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Hall RA, Nguyen W, Khromykh AA, Suhrbier A. Insect-specific virus platforms for arbovirus vaccine development. Front Immunol 2025; 16:1521104. [PMID: 40160816 PMCID: PMC11949993 DOI: 10.3389/fimmu.2025.1521104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2024] [Accepted: 02/28/2025] [Indexed: 04/02/2025] Open
Abstract
Certain insect-specific viruses (ISVs), specifically the mosquito alphaviruses, Eilat and Yada Yada viruses, and orthoflaviviruses, Binjari, Aripo, YN15-283-02 and Chaoyang viruses, have emerged as potential platforms for generation of whole virus vaccines for human and veterinary applications. These ISVs are remarkably tolerant of the substitution of their structural polyproteins with those of alphaviruses and orthoflaviviruses that are pathogenic in humans and/or animals. The resulting ISV-based chimeric vaccines have been evaluated in mouse models and have demonstrated safety and efficacy in non-human primates, crocodiles and pigs. Targets include chikungunya, Venezuelan and eastern equine encephalitis, dengue, Zika, yellow fever, Japanese encephalitis and West Nile viruses. ISV-based chimeric vaccines provide authentically folded tertiary and quaternary whole virion particle structures to the immune system, a key feature for induction of protective antibody responses. These vaccines are manufactured in C6/36 or C7-10 mosquito cell lines, where they grow to high titers, but they do not replicate in vertebrate vaccine recipients. This review discusses the progress of these emerging technologies and addresses challenges related to adjuvanting, safety, and manufacturing.
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Affiliation(s)
- Roy A. Hall
- School of Chemistry and Molecular Biosciences, University of Queensland, St. Lucia, QLD, Australia
- Global Virus Network Centre of Excellence, Australian Infectious Diseases Research Centre, Brisbane, QLD, Australia
| | - Wilson Nguyen
- Inflammation Biology Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Alexander A. Khromykh
- School of Chemistry and Molecular Biosciences, University of Queensland, St. Lucia, QLD, Australia
- Global Virus Network Centre of Excellence, Australian Infectious Diseases Research Centre, Brisbane, QLD, Australia
| | - Andreas Suhrbier
- Global Virus Network Centre of Excellence, Australian Infectious Diseases Research Centre, Brisbane, QLD, Australia
- Inflammation Biology Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
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2
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Doublet V, Doyle TD, Carvell C, Brown MJF, Wilfert L. Host ecology and phylogeny shape the temporal dynamics of social bee viromes. Nat Commun 2025; 16:2207. [PMID: 40044660 PMCID: PMC11882784 DOI: 10.1038/s41467-025-57314-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Accepted: 02/18/2025] [Indexed: 03/09/2025] Open
Abstract
The composition of viral communities (i.e. viromes) can be dynamic and complex. Co-evolution may lead to virome host-specificity. However, eco-evolutionary factors may influence virome dynamics in wild host communities, potentially leading to disease emergence. Social bees are relevant models to address the drivers of virome composition: these important pollinators form multi-species assemblages, with high niche overlap and strong seasonality in their biotic interactions. We applied a microbial community approach to disentangle the role of host phylogeny and host ecology in shaping bee viromes, combining plant-pollinator networks with meta-transcriptomics, and small interfering RNAs as proxies for viral replication in pollinators and pollen. We identified over a hundred insect and plant viral sequences from ca. 4500 insect pollinator samples across three time points in one year. While host genetic distance drives the distribution of bee viruses, we find that plant-pollinator interactions and phenology drive plant virus communities collected by bees. This reveals the opportunities for virus spread in the bee assemblage. However, we show that transmission to multiple hosts is only realized for a fraction of insect viruses, with even fewer found to be actively replicating in multiple species, including the particularly virulent multi-host acute bee paralysis virus.
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Affiliation(s)
- Vincent Doublet
- Institute of Evolutionary Ecology and Conservation Genomics, University of Ulm, Ulm, Germany.
- Centre for Ecology and Conservation, University of Exeter, Penryn, UK.
| | - Toby D Doyle
- Centre for Ecology and Conservation, University of Exeter, Penryn, UK
| | | | - Mark J F Brown
- Department of Biological Sciences, School of Life Sciences and the Environment, Royal Holloway University of London, Egham, UK
| | - Lena Wilfert
- Institute of Evolutionary Ecology and Conservation Genomics, University of Ulm, Ulm, Germany
- Centre for Ecology and Conservation, University of Exeter, Penryn, UK
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3
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Perdomo HD, Khorramnejad A, Cham NM, Kropf A, Sogliani D, Bonizzoni M. Prolonged exposure to heat enhances mosquito tolerance to viral infection. Commun Biol 2025; 8:168. [PMID: 39901025 PMCID: PMC11790978 DOI: 10.1038/s42003-025-07617-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2024] [Accepted: 01/28/2025] [Indexed: 02/05/2025] Open
Abstract
How and to what extent mosquito-virus interaction is influenced by climate change is a complex question of ecological and epidemiological relevance. We worked at the intersection between thermal biology and vector immunology and studied shifts in tolerance and resistance to the cell fusing agent virus (CFAV), a prominent component of the mosquito virome known to contribute to shaping mosquito vector competence, in warm-acclimated and warm-evolved Aedes albopictus mosquitoes. We show that the length of the thermal challenge influences the outcome of the infection with warm-evolved mosquitoes being more tolerant to CFAV infection, while warm-acclimated mosquitoes being more resistant and suffering from extensive fitness costs. These results highlight the importance of considering fluctuations in vector immunity in relation to the length of a thermal challenge to understand natural variation in vector response to viruses and frame realistic transmission models.
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Affiliation(s)
- Hugo D Perdomo
- Department of Biology and Biotechnology, University of Pavia, via Ferrata 9, 27100, Pavia, Italy
| | - Ayda Khorramnejad
- Department of Biology and Biotechnology, University of Pavia, via Ferrata 9, 27100, Pavia, Italy
| | - Nfamara M Cham
- Department of Biology and Biotechnology, University of Pavia, via Ferrata 9, 27100, Pavia, Italy
| | - Alida Kropf
- Department of Biology and Biotechnology, University of Pavia, via Ferrata 9, 27100, Pavia, Italy
| | - Davide Sogliani
- Department of Biology and Biotechnology, University of Pavia, via Ferrata 9, 27100, Pavia, Italy
| | - Mariangela Bonizzoni
- Department of Biology and Biotechnology, University of Pavia, via Ferrata 9, 27100, Pavia, Italy.
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4
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Niu D, Zhao Q, Xu L, Lin K. Physiological and Molecular Mechanisms of Lepidopteran Insects: Genomic Insights and Applications of Genome Editing for Future Research. Int J Mol Sci 2024; 25:12360. [PMID: 39596426 PMCID: PMC11594828 DOI: 10.3390/ijms252212360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2024] [Revised: 11/12/2024] [Accepted: 11/16/2024] [Indexed: 11/28/2024] Open
Abstract
Lepidopteran insects are a major threat to global agriculture, causing significant crop losses and economic damage. Traditional pest control methods are becoming less effective due to the rapid evolution of insecticide resistance. This study explores the current status and genomic characteristics of 1315 Lepidopteran records, alongside an overview of relevant research, utilizing advanced functional genomics techniques, including RNA-seq and CRISPR/Cas9 gene-editing technologies to uncover the molecular mechanisms underlying insecticide resistance. Our genomic analysis revealed significant variability in genome size, assembly quality, and chromosome number, which may influence species' biology and resistance mechanisms. We identified key resistance-associated genes and pathways, including detoxification and metabolic pathways, which help these insects evade chemical control. By employing CRISPR/Cas9 gene-editing techniques, we directly manipulated resistance-associated genes to confirm their roles in resistance, demonstrating their potential for targeted interventions in pest management. These findings emphasize the value of integrating genomic data into the development of effective and sustainable pest control strategies, reducing reliance on chemical insecticides and promoting environmentally friendly integrated pest management (IPM) approaches. Our study highlights the critical role of functional genomics in IPM and its potential to provide long-term solutions to the growing challenge of Lepidopteran resistance.
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Affiliation(s)
- Dongsheng Niu
- Institute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot 010000, China; (D.N.); (Q.Z.)
- Inner Mongolia-CABI Joint Laboratory for Grassland Protection and Sustainable Utilization, Chinese Academy of Agricultural Sciences, Hohhot 010000, China
- Key Laboratory of Biohazard Monitoring, Green Prevention and Control for Artificial Grassland, Ministry of Agriculture and Rural Affairs, Chinese Academy of Agricultural Sciences, Hohhot 010000, China
- Inner Mongolia Key Laboratory of Grassland Protection Ecology, Chinese Academy of Agricultural Sciences, Hohhot 010000, China
| | - Qing Zhao
- Institute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot 010000, China; (D.N.); (Q.Z.)
- Inner Mongolia-CABI Joint Laboratory for Grassland Protection and Sustainable Utilization, Chinese Academy of Agricultural Sciences, Hohhot 010000, China
- Key Laboratory of Biohazard Monitoring, Green Prevention and Control for Artificial Grassland, Ministry of Agriculture and Rural Affairs, Chinese Academy of Agricultural Sciences, Hohhot 010000, China
- Inner Mongolia Key Laboratory of Grassland Protection Ecology, Chinese Academy of Agricultural Sciences, Hohhot 010000, China
| | - Linbo Xu
- Institute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot 010000, China; (D.N.); (Q.Z.)
- Inner Mongolia-CABI Joint Laboratory for Grassland Protection and Sustainable Utilization, Chinese Academy of Agricultural Sciences, Hohhot 010000, China
- Key Laboratory of Biohazard Monitoring, Green Prevention and Control for Artificial Grassland, Ministry of Agriculture and Rural Affairs, Chinese Academy of Agricultural Sciences, Hohhot 010000, China
- Inner Mongolia Key Laboratory of Grassland Protection Ecology, Chinese Academy of Agricultural Sciences, Hohhot 010000, China
| | - Kejian Lin
- Institute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot 010000, China; (D.N.); (Q.Z.)
- Inner Mongolia-CABI Joint Laboratory for Grassland Protection and Sustainable Utilization, Chinese Academy of Agricultural Sciences, Hohhot 010000, China
- Key Laboratory of Biohazard Monitoring, Green Prevention and Control for Artificial Grassland, Ministry of Agriculture and Rural Affairs, Chinese Academy of Agricultural Sciences, Hohhot 010000, China
- Inner Mongolia Key Laboratory of Grassland Protection Ecology, Chinese Academy of Agricultural Sciences, Hohhot 010000, China
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Yang Z, Shan Y, Liu X, Chen G, Pan Y, Gou Q, Zou J, Chang Z, Zeng Q, Yang C, Kong J, Sun Y, Li S, Zhang X, Wu WC, Li C, Peng H, Holmes EC, Guo D, Shi M. VirID: Beyond Virus Discovery-An Integrated Platform for Comprehensive RNA Virus Characterization. Mol Biol Evol 2024; 41:msae202. [PMID: 39331699 PMCID: PMC11523140 DOI: 10.1093/molbev/msae202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2024] [Revised: 09/10/2024] [Accepted: 09/24/2024] [Indexed: 09/29/2024] Open
Abstract
RNA viruses exhibit vast phylogenetic diversity and can significantly impact public health and agriculture. However, current bioinformatics tools for viral discovery from metagenomic data frequently generate false positive virus results, overestimate viral diversity, and misclassify virus sequences. Additionally, current tools often fail to determine virus-host associations, which hampers investigation of the potential threat posed by a newly detected virus. To address these issues we developed VirID, a software tool specifically designed for the discovery and characterization of RNA viruses from metagenomic data. The basis of VirID is a comprehensive RNA-dependent RNA polymerase database to enhance a workflow that includes RNA virus discovery, phylogenetic analysis, and phylogeny-based virus characterization. Benchmark tests on a simulated data set demonstrated that VirID had high accuracy in profiling viruses and estimating viral richness. In evaluations with real-world samples, VirID was able to identify RNA viruses of all types, but also provided accurate estimations of viral genetic diversity and virus classification, as well as comprehensive insights into virus associations with humans, animals, and plants. VirID therefore offers a robust tool for virus discovery and serves as a valuable resource in basic virological studies, pathogen surveillance, and early warning systems for infectious disease outbreaks.
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Affiliation(s)
- Ziyue Yang
- State Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Sun Yat-sen University, Shenzhen, China
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Yongtao Shan
- State Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Sun Yat-sen University, Shenzhen, China
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Xue Liu
- State Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Sun Yat-sen University, Shenzhen, China
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Guowei Chen
- Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong (SAR), China
| | - Yuanfei Pan
- Ministry of Education Key Laboratory of Biodiversity Science and Ecological Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Qinyu Gou
- State Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Sun Yat-sen University, Shenzhen, China
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Jie Zou
- State Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Sun Yat-sen University, Shenzhen, China
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Zilong Chang
- State Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Sun Yat-sen University, Shenzhen, China
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Qiang Zeng
- State Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Sun Yat-sen University, Shenzhen, China
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Chunhui Yang
- State Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Sun Yat-sen University, Shenzhen, China
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Jianbin Kong
- State Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Sun Yat-sen University, Shenzhen, China
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Yanni Sun
- Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong (SAR), China
| | - Shaochuan Li
- Goodwill Institute of Life Sciences, Guangzhou, China
| | - Xu Zhang
- Goodwill Institute of Life Sciences, Guangzhou, China
| | - Wei-chen Wu
- State Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Sun Yat-sen University, Shenzhen, China
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Chunmei Li
- State Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Sun Yat-sen University, Shenzhen, China
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Hong Peng
- State Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Sun Yat-sen University, Shenzhen, China
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Edward C Holmes
- School of Medical Sciences, The University of Sydney, Sydney, New South Wales, Australia
- Laboratory of Data Discovery for Health Limited, Hong Kong (SAR), China
| | - Deyin Guo
- Guangzhou National Laboratory, Guangzhou International Bio-Island, Guangzhou, China
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Mang Shi
- State Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Sun Yat-sen University, Shenzhen, China
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
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Ghedin E, Hockman MR. The host-parasite-virus triad. Nat Microbiol 2024; 9:2473-2474. [PMID: 39294460 DOI: 10.1038/s41564-024-01817-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/20/2024]
Affiliation(s)
- Elodie Ghedin
- Systems Genomics Section, Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
| | - Megan R Hockman
- Systems Genomics Section, Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
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7
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Hotez PJ. Pediatric pandemic preparedness for a vulnerable Gulf of Mexico. Pediatr Res 2024:10.1038/s41390-024-03557-x. [PMID: 39251879 DOI: 10.1038/s41390-024-03557-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2024] [Accepted: 08/26/2024] [Indexed: 09/11/2024]
Affiliation(s)
- Peter J Hotez
- Texas Children's Hospital Center for Vaccine Development, Departments of Pediatrics and Molecular Virology and Microbiology, National School of Tropical Medicine, Baylor College of Medicine, Houston, TX, USA.
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De Coninck L, Soto A, Wang L, De Wolf K, Smitz N, Deblauwe I, Mbigha Donfack KC, Müller R, Delang L, Matthijnssens J. Lack of abundant core virome in Culex mosquitoes from a temperate climate region despite a mosquito species-specific virome. mSystems 2024; 9:e0001224. [PMID: 38742876 PMCID: PMC11237611 DOI: 10.1128/msystems.00012-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 04/15/2024] [Indexed: 05/16/2024] Open
Abstract
In arthropod-associated microbial communities, insect-specific viruses (ISVs) are prevalent yet understudied due to limited infectivity outside their natural hosts. However, ISVs might play a crucial role in regulating mosquito populations and influencing arthropod-borne virus transmission. Some studies have indicated a core virome in mosquitoes consisting of mostly ISVs. Employing single mosquito metagenomics, we comprehensively profiled the virome of native and invasive mosquito species in Belgium. This approach allowed for accurate host species determination, prevalence assessment of viruses and Wolbachia, and the identification of novel viruses. Contrary to our expectations, no abundant core virome was observed in Culex mosquitoes from Belgium. In that regard, we caution against rigidly defining mosquito core viromes and encourage nuanced interpretations of other studies. Nonetheless, our study identified 45 viruses of which 28 were novel, enriching our understanding of the mosquito virome and ISVs. We showed that the mosquito virome in this study is species-specific and less dependent on the location where mosquitoes from the same species reside. In addition, because Wolbachia has previously been observed to influence arbovirus transmission, we report the prevalence of Wolbachia in Belgian mosquitoes and the detection of several Wolbachia mobile genetic elements. The observed prevalence ranged from 83% to 92% in members from the Culex pipiens complex.IMPORTANCECulex pipiens mosquitoes are important vectors for arboviruses like West Nile virus and Usutu virus. Virome studies on individual Culex pipiens, and on individual mosquitoes in general, have been lacking. To mitigate this, we sequenced the virome of 190 individual Culex and 8 individual Aedes japonicus mosquitoes. We report the lack of a core virome in these mosquitoes from Belgium and caution the interpretation of other studies in this light. The discovery of new viruses in this study will aid our comprehension of insect-specific viruses and the mosquito virome in general in relation to mosquito physiology and mosquito population dynamics.
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Affiliation(s)
- Lander De Coninck
- KU Leuven, Department of Microbiology, Immunology and Transplantation, Rega Institute, Division of Clinical and Epidemiological Virology, Laboratory of Viral Metagenomics, Leuven, Belgium
| | - Alina Soto
- KU Leuven, Department of Microbiology, Immunology, & Transplantation, Rega Institute, Laboratory of Virology and Chemotherapy, Mosquito Virology Team, Leuven, Belgium
| | - Lanjiao Wang
- KU Leuven, Department of Microbiology, Immunology, & Transplantation, Rega Institute, Laboratory of Virology and Chemotherapy, Mosquito Virology Team, Leuven, Belgium
| | - Katrien De Wolf
- Department Biomedical Sciences, The Unit of Entomology, Institute of Tropical Medicine, Antwerp, Belgium
- Department of Biology, Terrestrial Ecology Unit, Ghent University, Ghent, Belgium
| | - Nathalie Smitz
- Department of Biology, Royal Museum for Central Africa (Barcoding Facility for Organisms and Tissues of Policy Concern), Tervuren, Belgium
| | - Isra Deblauwe
- Department Biomedical Sciences, The Unit of Entomology, Institute of Tropical Medicine, Antwerp, Belgium
| | - Karelle Celes Mbigha Donfack
- KU Leuven, Department of Microbiology, Immunology and Transplantation, Rega Institute, Division of Clinical and Epidemiological Virology, Laboratory of Viral Metagenomics, Leuven, Belgium
| | - Ruth Müller
- Department Biomedical Sciences, The Unit of Entomology, Institute of Tropical Medicine, Antwerp, Belgium
| | - Leen Delang
- KU Leuven, Department of Microbiology, Immunology, & Transplantation, Rega Institute, Laboratory of Virology and Chemotherapy, Mosquito Virology Team, Leuven, Belgium
| | - Jelle Matthijnssens
- KU Leuven, Department of Microbiology, Immunology and Transplantation, Rega Institute, Division of Clinical and Epidemiological Virology, Laboratory of Viral Metagenomics, Leuven, Belgium
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9
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Gupta S, Sharma R, Williams AE, Sanchez-Vargas I, Rose NH, Zhang C, Crosbie-Villaseca A, Zhu Z, Dayama G, Gloria-Soria A, Brackney DE, Manning J, Wheeler SS, Caranci A, Reyes T, Sylla M, Badolo A, Akorli J, Aribodor OB, Ayala D, Liu WL, Chen CH, Vasquez C, Acosta CG, Ponlawat A, Magalhaes T, Carter B, Wesson D, Surin D, Younger MA, Costa-da-Silva AL, DeGennaro M, Bergman A, Lambrechts L, McBride CS, Olson KE, Calvo E, Lau NC. Global genomics of Aedes aegypti unveils widespread and novel infectious viruses capable of triggering a small RNA response. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.06.597482. [PMID: 38895463 PMCID: PMC11185646 DOI: 10.1101/2024.06.06.597482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
The mosquito Aedes aegypti is a prominent vector for arboviruses, but the breadth of mosquito viruses that infects this specie is not fully understood. In the broadest global survey to date of over 200 Ae. aegypti small RNA samples, we detected viral small interfering RNAs (siRNAs) and Piwi interacting RNAs (piRNAs) arising from mosquito viruses. We confirmed that most academic laboratory colonies of Ae. aegypti lack persisting viruses, yet two commercial strains were infected by a novel tombus-like virus. Ae. aegypti from North to South American locations were also teeming with multiple insect viruses, with Anphevirus and a bunyavirus displaying geographical boundaries from the viral small RNA patterns. Asian Ae. aegypti small RNA patterns indicate infections by similar mosquito viruses from the Americas and reveal the first wild example of dengue virus infection generating viral small RNAs. African Ae. aegypti also contained various viral small RNAs including novel viruses only found in these African substrains. Intriguingly, viral long RNA patterns can differ from small RNA patterns, indicative of viral transcripts evading the mosquitoes' RNA interference (RNAi) machinery. To determine whether the viruses we discovered via small RNA sequencing were replicating and transmissible, we infected C6/36 and Aag2 cells with Ae. aegypti homogenates. Through blind passaging, we generated cell lines stably infected by these mosquito viruses which then generated abundant viral siRNAs and piRNAs that resemble the native mosquito viral small RNA patterns. This mosquito small RNA genomics approach augments surveillance approaches for emerging infectious diseases.
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10
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François S. Host species drive composition of mosquito virome. Nat Ecol Evol 2024; 8:852-853. [PMID: 38519630 DOI: 10.1038/s41559-024-02385-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/25/2024]
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